Dynamic Signal Processing by the Glucose Sensing Network of Saccharomyces Cerevisiae

Dynamic Signal Processing by the Glucose Sensing Network of Saccharomyces Cerevisiae PDF Author: Luis Fernando Montaño-Gutierrez
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Dynamic Signaling and Adaptation in Saccharomyces Cerevisiae Stress Response Pathways

Dynamic Signaling and Adaptation in Saccharomyces Cerevisiae Stress Response Pathways PDF Author: Zohreh AkhavanAghdam
Publisher:
ISBN:
Category :
Languages : en
Pages : 155

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Living cells respond to environmental cues through complex signaling and gene regulatory networks. A common theme throughout this thesis will be exploring design principles in biological networks and how they operate dynamically to process information and make decisions. In Chapter 1, we tackle how different types of stresses induce distinct nuclear translocation dynamics of Msn2, an outstanding question in the field. In the absence of stress, PKA phosphorylates Msn2, causing it to be exported out of the nucleus. In response to stress, PKA activity is inhibited, Msn2 is dephosphorylated and translocated into the nucleus. In response to glucose limitation, Msn2 exhibits an initial homogenous pulse of nuclear translocation followed by sporadic nuclear pulses with dose-dependent frequency, but in response to osmotic stress Msn2 undergoes a single translocation pulse with dose-dependent duration. We hypothesized that the difference between glucose limitation and osmotic stress-induced Msn2 dynamics might be a result of glucose limitation-dependent Snf1 activation, since previous studies suggest that Snf1 and PKA mutually inhibit each other. We use modeling and experiments to demonstrate that these different upstream network structures could, in fact, be responsible for the differences we see in Msn2 translocation dynamics. In Chapter 2, we study a recurring scheme in gene regulatory networks, which is combinatorial gene regulation by seemingly redundant transcription factors (TFs), using time-lapse microscopy and microfluidics. We use the seemingly redundant yeast homologous stress responsive TFs Msn2 and Msn4 as a model to quantitatively study the functional relevance of closely related TFs in the same single cells and find that Msn2 and Msn4 have non-redundant and distinct functions in combinatorial gene regulation. In response to a transient input, either Msn2 or Msn4 alone is sufficient to induce the expression of target genes with fast kinetics promoters. Target genes with slow kinetics promoters, however, require activation of both Msn2 and Msn4 in these conditions. Importantly, slow kinetic promoter activation is dependent on duration of the upstream signal because in response to a prolonged input, slow kinetic promoter activation no longer requires both Msn2 and Msn4. Thus, in Chapter 2, we determine that coordinated gene regulation by seemingly redundant TFs is not fixed, but rather dependent on the dynamics of upstream signals. In Chapter 3, we demonstrate that cells retain a memory of many of upstream signaling events that occur in response to stress, which primes the cells to respond to future severe stress events. We use microfluidics and time-lapse microscopy to modulate the amplitude and duration of priming stimulus and also increase the break time in between the priming stimulus and severe stress. Using this system, we have determined that cells acquire an amplitude-dependent short-term memory of priming stimulus, which is induced and lost rapidly, and a duration-dependent long-term memory which is stable for a long period of time before finally declining after 100 minutes. We use this information about the dynamical specificity of different types of cellular memory and their stability to determine the cellular pathways responsible for the observed memory.

Analysis of the Signal Processing Dynamics by the Fus3/Kss1-MAPK Module in Saccharomyces Cerevisiae

Analysis of the Signal Processing Dynamics by the Fus3/Kss1-MAPK Module in Saccharomyces Cerevisiae PDF Author: Sarah Weisser
Publisher:
ISBN:
Category :
Languages : en
Pages : 154

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Dissecting the Glucose Sensing and Signaling Pathway in Saccharomyces Cerevisiae

Dissecting the Glucose Sensing and Signaling Pathway in Saccharomyces Cerevisiae PDF Author: Vidhya Ramakrishnan
Publisher:
ISBN:
Category :
Languages : en
Pages : 466

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Logical Modeling of Cellular Processes: From Software Development to Network Dynamics

Logical Modeling of Cellular Processes: From Software Development to Network Dynamics PDF Author: Matteo Barberis
Publisher: Frontiers Media SA
ISBN: 2889459837
Category :
Languages : en
Pages : 340

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Book Description
Mathematical models have become invaluable tools for understanding the intricate dynamic behavior of complex biochemical and biological systems. Among computational strategies, logical modeling has been recently gaining interest as an alternative approach to address network dynamics. Due to its advantages, including scalability and independence of kinetic parameters, the logical modeling framework is becoming increasingly popular to study the dynamics of highly interconnected systems, such as cell cycle progression, T cell differentiation and gene regulation. Novel tools and standards have been developed to increase the interoperability of logical models, which can now be employ to respond a variety of biological questions. This Research Topic brings together the most recent and cutting-edge approaches in the area of logical modeling including, among others, novel biological applications, software development and model analysis techniques.

Dissecting the Glucose Signaling Network in Saccharomyces Cerevisiae by Global Transcriptional Analysis

Dissecting the Glucose Signaling Network in Saccharomyces Cerevisiae by Global Transcriptional Analysis PDF Author: Shadia Zaman
Publisher:
ISBN: 9780549110941
Category :
Languages : en
Pages : 268

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In chapter 3, we present studies on identification of targets of a glucose regulated transcription factor, Mig1. We were unsuccessful in identifying Migl targets. The insight from these studies will be discussed.

Determination of the Targets of Low Glucose Signaling in Saccharomyces Cerevisiae by the SNF3 Glucose Sensor

Determination of the Targets of Low Glucose Signaling in Saccharomyces Cerevisiae by the SNF3 Glucose Sensor PDF Author: James Alan Brown
Publisher:
ISBN:
Category :
Languages : en
Pages : 564

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Pathway Analysis for Drug Discovery

Pathway Analysis for Drug Discovery PDF Author: Anton Yuryev
Publisher: John Wiley & Sons
ISBN: 0470399260
Category : Science
Languages : en
Pages : 332

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Book Description
This book introduces drug researchers to the novel computational approaches of pathway analysis and explains the existing applications that can save time and money in the drug discovery process. It covers traditional computational methods and software for pathway analysis microarray, proteomics, and metabolomics. It explains pathway reconstruction of diseases and toxic states, pathway analysis in various phases, dynamic modeling of drug responses, and more. This is a core resource for drug discovery and pharmaceutical industry researchers, chemists, and biologists and for professionals in related fields.

New Advances in Saccharomyces

New Advances in Saccharomyces PDF Author: Antonio Morata
Publisher: BoD – Books on Demand
ISBN: 085466128X
Category : Technology & Engineering
Languages : en
Pages : 276

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Book Description
New Advances in Saccharomyces is a book for yeast researchers that provides a better understanding of yeast metabolism, genetics, and metabolomics applied to the fermentation of alcoholic beverages such as wine and beer. The book is structured in three parts and twelve chapters with a significant focus on wine biotechnology. It includes numerous figures and tables with many practical data illustrating the contents and applications. This book is designed to help researchers and scientists develop or improve applications and new processes in fermentation industries for the production of beverages.

Index Medicus

Index Medicus PDF Author:
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1812

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